AIAA Guidance, Navigation, and Control Conference 2009
DOI: 10.2514/6.2009-6007
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Traffic Flow Management Using Aggregate Flow Models and the Development of Disaggregation Methods

Abstract: A linear time-varying aggregate traffic flow model can be used to develop Traffic Flow Management strategies based on optimization algorithms. However, there are no methods available in the literature to translate these aggregate solutions into actions involving individual aircraft. This paper describes and implements a computationally efficient disaggregation algorithm, which converts an aggregate (flow-based) solution to a flight-specific control action. Numerical results generated by the optimization method… Show more

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Cited by 14 publications
(8 citation statements)
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“…Several NASA efforts have investigated TFM using advanced iterative algorithms not only for strategic TFM in the National Airspace System (NAS) but also for managing surface traffic flows [1][2][3][4][5][6][7][8]. While these algorithms can provide precise solutions to the traffic management problem, they are more suitable for predictive control based on deterministic data.…”
Section: Introductionmentioning
confidence: 99%
“…Several NASA efforts have investigated TFM using advanced iterative algorithms not only for strategic TFM in the National Airspace System (NAS) but also for managing surface traffic flows [1][2][3][4][5][6][7][8]. While these algorithms can provide precise solutions to the traffic management problem, they are more suitable for predictive control based on deterministic data.…”
Section: Introductionmentioning
confidence: 99%
“…ECISION Support Tools (DSTs) for Traffic Flow Management (TFM) need the characterization of the current and future traffic situations for effective management. Several NASA efforts have investigated TFM using advanced iterative algorithms not only for strategic TFM in the National Airspace System (NAS) but also for managing surface traffic flows [1][2][3][4][5][6][7][8] . While these algorithms can provide precise solutions to the traffic management problem, they are more suitable for predictive control based on deterministic data.…”
Section: Introductionmentioning
confidence: 99%
“…everal research efforts are underway at NASA on air traffic flow management (TFM) using advanced iterative numerical algorithms [1][2][3][4][5][6][7][8] . These algorithms are being considered not only for strategic TFM in the National Airspace System (NAS), but also in managing surface traffic flows.…”
Section: Introductionmentioning
confidence: 99%